Zip Codes with the Most Births per 1,000 Women Below Poverty Level in California

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Highest Birth Rate | Below Poverty
Population
Families and Households
Female Fertility
Female Fertility (Unmarried)
Race (Community Size)
Race (Percentage)
Ancestry (Community Size)
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Ancestry (Percentage)
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Immigrant Origin (Total)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Immigrant Origin (Percentage)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Income
Income (Families)
Income (Households)
Poverty
Poverty (Families)
Unemployment
Employment Occupations
Employment Industries
Employer Class
Commute Time
Commute Means
School Enrollment
Education by Degree Field
Occupancy
Finances
Physical Characteristics
California
States
California Cities
AlamedaAlhambraAnaheimAntiochApple ValleyArcadiaAuburnBakersfieldBerkeleyBeverly HillsBreaBuena ParkBurbankCamarilloCanoga ParkCanyon CountryCarlsbadCarsonCastro ValleyChicoChinoChula VistaCitrus HeightsClovisComptonConcordCoronaCosta MesaCovinaCulver CityDaly CityDanvilleDavisDesert Hot SpringsDowneyEl CajonEl MonteElk GroveEncinoEscondidoEurekaFairfieldFontanaFremontFresnoFullertonGarden GroveGardenaGlendaleGlendoraGrass ValleyHaywardHemetHesperiaHuntington BeachIndioInglewoodIrvineLa MesaLa PuenteLake ElsinoreLakewoodLancasterLivermoreLodiLompocLong BeachLos AltosLos AngelesLos GatosMaderaMantecaMenifeeMercedMission ViejoModestoMonterey ParkMoreno ValleyMountain ViewMurrietaNapaNewport BeachNorth HollywoodNorthridgeNovatoOaklandOceansideOntarioOrangeOrovilleOxnardPalm DesertPalm SpringsPalmdalePalo AltoPasadenaPerrisPetalumaPleasantonPomonaRancho CordovaRancho CucamongaReddingRedlandsRedondo BeachRedwood CityRialtoRichmondRiversideRocklinRosevilleSacramentoSalinasSan BernardinoSan ClementeSan DiegoSan FranciscoSan GabrielSan JacintoSan JoseSan LeandroSan Luis ObispoSan MarcosSan MateoSan PedroSan RafaelSan RamonSanta AnaSanta BarbaraSanta ClaraSanta ClaritaSanta CruzSanta MariaSanta MonicaSanta RosaSherman OaksSimi ValleySpring ValleyStocktonSunnyvaleTemeculaThousand OaksTorranceTrabuco CanyonTracyTurlockTustinUplandVacavilleValenciaVallejoVan NuysVenturaVictorvilleVisaliaVistaWalnut CreekWest CovinaWest SacramentoWhittierWoodlandWoodland HillsYorba LindaYuba City
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Most Births per 1,000 Women Below Poverty Level in California

0.0
1,000.0
Zip Codes with the Most Births per 1,000 Women Below Poverty Level in California Map

Zip Codes with the Most Births per 1,000 Women Below Poverty Level in California

Zip Code Births / 1,000 Women vs State vs National
1.955431,000.049.0(+951)#153.0(+947)#8
2.935291,000.049.0(+951)#253.0(+947)#12
3.960101,000.049.0(+951)#353.0(+947)#56
4.95224704.049.0(+655)#453.0(+651)#88
5.95646524.049.0(+475)#553.0(+471)#157
6.96123500.049.0(+451)#653.0(+447)#177
7.95914447.049.0(+398)#753.0(+394)#217
8.95830433.049.0(+384)#853.0(+380)#227
9.94937418.049.0(+369)#953.0(+365)#238
10.96117404.049.0(+355)#1053.0(+351)#258
11.95689373.049.0(+324)#1153.0(+320)#301
12.96009333.049.0(+284)#1253.0(+280)#373
13.95549312.049.0(+263)#1353.0(+259)#421
14.91210304.049.0(+255)#1453.0(+251)#443
15.92561297.049.0(+248)#1553.0(+244)#463
16.94074297.049.0(+248)#1653.0(+244)#464
17.94720295.049.0(+246)#1753.0(+242)#469
18.96054292.049.0(+243)#1853.0(+239)#481
19.95497289.049.0(+240)#1953.0(+236)#487
20.96008287.049.0(+238)#2053.0(+234)#493
21.92258282.049.0(+233)#2153.0(+229)#516
22.96106282.049.0(+233)#2253.0(+229)#517
23.93243241.049.0(+192)#2353.0(+188)#707
24.93517231.049.0(+182)#2453.0(+178)#764
25.96133212.049.0(+163)#2553.0(+159)#874
26.95221205.049.0(+156)#2653.0(+152)#928
27.96065200.049.0(+151)#2753.0(+147)#981
28.91934186.049.0(+137)#2853.0(+133)#1,150
29.95041186.049.0(+137)#2953.0(+133)#1,152
30.96120185.049.0(+136)#3053.0(+132)#1,163
31.95639183.049.0(+134)#3153.0(+130)#1,187
32.93254179.049.0(+130)#3253.0(+126)#1,228
33.93652173.049.0(+124)#3353.0(+120)#1,323
34.96020172.049.0(+123)#3453.0(+119)#1,331
35.96107171.049.0(+122)#3553.0(+118)#1,356
36.93040168.049.0(+119)#3653.0(+115)#1,402
37.93606167.049.0(+118)#3753.0(+114)#1,423
38.93218163.049.0(+114)#3853.0(+110)#1,503
39.95970159.049.0(+110)#3953.0(+106)#1,580
40.92310157.049.0(+108)#4053.0(+104)#1,608
41.95528157.049.0(+108)#4153.0(+104)#1,616
42.93523153.049.0(+104)#4253.0(+100.0)#1,681
43.95228152.049.0(+103)#4353.0(+99.0)#1,699
44.95903152.049.0(+103)#4453.0(+99.0)#1,704
45.93532151.049.0(+102)#4553.0(+98.0)#1,727
46.95426149.049.0(+100.0)#4653.0(+96.0)#1,774
47.95247147.049.0(+98.0)#4753.0(+94.0)#1,806
48.95975147.049.0(+98.0)#4853.0(+94.0)#1,815
49.94535146.049.0(+97.0)#4953.0(+93.0)#1,832
50.93283142.049.0(+93.0)#5053.0(+89.0)#1,949
51.93920142.049.0(+93.0)#5153.0(+89.0)#1,953
52.93445140.049.0(+91.0)#5253.0(+87.0)#1,985
53.96128140.049.0(+91.0)#5353.0(+87.0)#2,001
54.95421139.049.0(+90.0)#5453.0(+86.0)#2,032
55.94129138.049.0(+89.0)#5553.0(+85.0)#2,050
56.95372137.049.0(+88.0)#5653.0(+84.0)#2,094
57.95253137.049.0(+88.0)#5753.0(+84.0)#2,102
58.93201135.049.0(+86.0)#5853.0(+82.0)#2,166
59.95320134.049.0(+85.0)#5953.0(+81.0)#2,187
60.93953131.049.0(+82.0)#6053.0(+78.0)#2,290
61.95665128.049.0(+79.0)#6153.0(+75.0)#2,395
62.96122128.049.0(+79.0)#6253.0(+75.0)#2,398
63.95223127.049.0(+78.0)#6353.0(+74.0)#2,442
64.92277126.049.0(+77.0)#6453.0(+73.0)#2,472
65.94951124.049.0(+75.0)#6553.0(+71.0)#2,568
66.95962123.049.0(+74.0)#6653.0(+70.0)#2,623
67.95548123.049.0(+74.0)#6753.0(+70.0)#2,626
68.93242122.049.0(+73.0)#6853.0(+69.0)#2,663
69.95546122.049.0(+73.0)#6953.0(+69.0)#2,664
70.95245121.049.0(+72.0)#7053.0(+68.0)#2,706
71.95638119.049.0(+70.0)#7153.0(+66.0)#2,778
72.95039119.049.0(+70.0)#7253.0(+66.0)#2,784
73.93426118.049.0(+69.0)#7353.0(+65.0)#2,835
74.95968118.049.0(+69.0)#7453.0(+65.0)#2,838
75.93305117.049.0(+68.0)#7553.0(+64.0)#2,865
76.95961117.049.0(+68.0)#7653.0(+64.0)#2,866
77.91935117.049.0(+68.0)#7753.0(+64.0)#2,877
78.96028117.049.0(+68.0)#7853.0(+64.0)#2,892
79.95423115.049.0(+66.0)#7953.0(+62.0)#2,976
80.95988114.049.0(+65.0)#8053.0(+61.0)#3,023
81.95236114.049.0(+65.0)#8153.0(+61.0)#3,033
82.95464114.049.0(+65.0)#8253.0(+61.0)#3,042
83.91917114.049.0(+65.0)#8353.0(+61.0)#3,053
84.93041113.049.0(+64.0)#8453.0(+60.0)#3,068
85.95449112.049.0(+63.0)#8553.0(+59.0)#3,154
86.92678111.049.0(+62.0)#8653.0(+58.0)#3,221
87.95939111.049.0(+62.0)#8753.0(+58.0)#3,225
88.94595110.049.0(+61.0)#8853.0(+57.0)#3,249
89.95327110.049.0(+61.0)#8953.0(+57.0)#3,257
90.92382110.049.0(+61.0)#9053.0(+57.0)#3,267
91.95255109.049.0(+60.0)#9153.0(+56.0)#3,328
92.96024109.049.0(+60.0)#9253.0(+56.0)#3,339
93.92251108.049.0(+59.0)#9353.0(+55.0)#3,359
94.95547107.049.0(+58.0)#9453.0(+54.0)#3,481
95.95605105.049.0(+56.0)#9553.0(+52.0)#3,575
96.94574104.049.0(+55.0)#9653.0(+51.0)#3,651
97.95005104.049.0(+55.0)#9753.0(+51.0)#3,652
98.95987104.049.0(+55.0)#9853.0(+51.0)#3,656
99.95918104.049.0(+55.0)#9953.0(+51.0)#3,680
100.92124103.049.0(+54.0)#10053.0(+50.0)#3,703

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in California?
Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in California are:
#1
1,000.0
#2
1,000.0
#3
1,000.0
#4
704.0
#5
524.0
#6
500.0
#7
447.0
#8
433.0
#9
418.0
#10
404.0
What zip code has the Most Births per 1,000 Women Below Poverty Level in California?
95543 has the Most Births per 1,000 Women Below Poverty Level in California with 1,000.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the State of California?
Number of Births per 1,000 Women Below Poverty Level in California is 49.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the United States?
Number of Births per 1,000 Women Below Poverty Level in the United States is 53.0.